Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114D2FAB21A657D2F80C28390F320B739A2D68109D7824915BBE9432E77D7DDDD463A4F |
|
CONTENT
ssdeep
|
384:qKpLHY1p95FB+L+cYH4cU0JCciyjJgITsHbLDV3CL/CuLfmBA03F:Bp85Dy+cG4cU0ociJt3UCuQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd37226688723756 |
|
VISUAL
aHash
|
00180018180010ff |
|
VISUAL
dHash
|
04300cb2324cb030 |
|
VISUAL
wHash
|
24fcced89880e0ff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
8280e49898a08082,04300cb2324cb030 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 698 techniques to evade detection by security scanners and make reverse engineering more difficult.